Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey

Akcaalan R. , Albay M. , Koker L. , Baudart J., Guillebault D., Fischer S., ...More

ENVIRONMENTAL MONITORING AND ASSESSMENT, vol.190, no.1, 2018 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 190 Issue: 1
  • Publication Date: 2018
  • Doi Number: 10.1007/s10661-017-6314-7
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Keywords: Phylochips, Microarray, Freshwater pathogens, Cyanobacteria, Molecular barcodes, REAL-TIME PCR, ESCHERICHIA-COLI, CYANOBACTERIA, PLANKTOTHRIX, BACTERIA, SAMPLES, SPP., IDENTIFICATION, MICROCYSTINS, EXTRACTION


Monitoring drinking water quality is an important public health issue. Two objectives from the 4 years, six nations, EU Project mu Aqua were to develop hierarchically specific probes to detect and quantify pathogens in drinking water using a PCR-free microarray platform and to design a standardised water sampling program from different sources in Europe to obtain sufficient material for downstream analysis. Our phylochip contains barcodes (probes) that specifically identify freshwater pathogens that are human health risks in a taxonomic hierarchical fashion such that if species is present, the entire taxonomic hierarchy genus, family, order, phylum, kingdom) leading to it must also be present, which avoids false positives. Molecular tools are more rapid, accurate and reliable than traditional methods, which means faster mitigation strategies with less harm to humans and the community. We present microarray results for the presence of freshwater pathogens from a Turkish lake used drinking water and inferred cyanobacterial cell equivalents from samples concentrated from 40 into 1 L in 45 min using hollow fibre filters. In two companion studies from the same samples, cyanobacterial toxins were analysed using chemical methods and those dates with highest toxin values also had highest cell equivalents as inferred from this microarray study.